Package: ctsem
Type: Package
Title: Continuous Time Structural Equation Modelling
Version: 3.10.6
Date: 2026-1-25
Authors@R: c(person("Charles", "Driver", role =
    c("aut","cre","cph"),email="charles.driver2@uzh.ch"),
    person("Manuel", "Voelkle", role = c("aut","cph")),
    person("Han", "Oud", role = c("aut","cph") ),
    person("Trustees of Columbia University",role='cph'))
Description: Hierarchical continuous (and discrete) time state space modelling, for linear
    and nonlinear systems measured by  continuous variables, with limited support for 
    binary data. The subject specific dynamic system is modelled as a stochastic 
    differential equation (SDE) or difference equation, measurement models are typically multivariate normal factor models. 
    Linear mixed effects SDE's estimated via maximum likelihood and optimization are the default.
    Nonlinearities,  (state dependent parameters) and random effects on all parameters
    are possible, using either max likelihood / max a posteriori optimization 
    (with optional importance sampling) or Stan's Hamiltonian Monte Carlo sampling. 
    See  <https://github.com/cdriveraus/ctsem/raw/master/vignettes/hierarchicalmanual.pdf>
    for details. See <https://osf.io/preprints/psyarxiv/4q9ex_v2> for a detailed tutorial. 
    Priors may be used. For the conceptual overview of the hierarchical Bayesian 
    linear SDE approach, 
    see <https://www.researchgate.net/publication/324093594_Hierarchical_Bayesian_Continuous_Time_Dynamic_Modeling>.
    Exogenous inputs may also be included, for an overview of such possibilities see <https://www.researchgate.net/publication/328221807_Understanding_the_Time_Course_of_Interventions_with_Continuous_Time_Dynamic_Models> .
    <https://cdriver.netlify.app/> contains some tutorial blog posts.
License: GPL-3
Depends: R (>= 4.2.0), Rcpp (>= 0.12.16)
URL: https://github.com/cdriveraus/ctsem
Imports: cOde, data.table (>= 1.12.8), datasets, Deriv, expm, ggplot2,
        graphics, grDevices, MASS, Matrix, methods, mize, mvtnorm,
        parallel, plyr, RcppParallel (>= 5.0.1), rstan (>= 2.26.0),
        rstantools (>= 2.3.0), stats, tibble, tools, utils, splines,
        parallelly, corpcor, png
Encoding: UTF-8
LazyData: true
ByteCompile: true
LinkingTo: BH (>= 1.66.0-1), Rcpp (>= 0.12.16), RcppEigen (>=
        0.3.3.4.0), RcppParallel (>= 5.0.1), rstan (>= 2.26),
        StanHeaders (>= 2.26.0), RcppParallel (>= 5.0.1)
Suggests: knitr, testthat, devtools, tinytex, lme4, shiny, gridExtra,
        arules, collapse, qgam, papaja, future, future.apply, diagis,
        pdftools, rstudioapi
VignetteBuilder: knitr
RoxygenNote: 7.3.3
SystemRequirements: GNU make
NeedsCompilation: yes
Biarch: true
Packaged: 2026-01-27 11:21:33 UTC; Driver
Author: Charles Driver [aut, cre, cph],
  Manuel Voelkle [aut, cph],
  Han Oud [aut, cph],
  Trustees of Columbia University [cph]
Maintainer: Charles Driver <charles.driver2@uzh.ch>
Repository: CRAN
Date/Publication: 2026-01-27 13:30:02 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-04-14 04:23:51 UTC; windows
Archs: x64
